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Vp Data Science Jobs in Utah (NOW HIRING)

VP of Sales

Orem, UT · On-site

$300K - $400K/yr

We have an immediate opportunity for a VP of Sales to lead and scale our sales organization. This ... Excellent communicator, able to translate sales data, market trends, and strategy into clear ...

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis ...

Vice President Of Data Platform & Architecture Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with ...

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis ...

VP, Engineering & Continuous Improvement

Ogden, UT · On-site

$176K - $227K/yr

The Vice President of Engineering & Continuous Improvement is a strategic leader responsible for ... Analyze data and trends to identify opportunities for improvement. * Ensure compliance with quality ...

No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP ... Responsibilities Data Scientist, I Produce innovative solutions driven by exploratory data analysis ...

... through data and narrative. * Technically Curious: You don't need to be an engineer, but you are ... You have mastered the art and science of pricing, packaging, and market segmentation. * Scrappy ...

VP of Engineering

Draper, UT · Hybrid

$168K - $216K/yr

BambooHR is seeking a Vice President (VP) of Engineering to translate the company's technical ... data-driven decision making. * Collaborate with strategic cross-functional partners to define and ...

The VP, Consumer Bank Product is responsible for the management of Synchrony's Consumer Bank ... Partner closely with Engineering, UX/Design, Data Science, Compliance, Legal, Fraud, and Operations ...

Showing results 41-60

Vp Data Science information

See Utah salary details

$37.8K

$129.7K

$183K

How much do vp data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for vp data science in Utah is $129,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $151,600.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

What are the most commonly searched types of Data Science jobs in Utah?

The most popular types of Data Science jobs in Utah are:

What are popular job titles related to Vp Data Science jobs in Utah?

For Vp Data Science jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Vp Data Science jobs?

Cities in Utah with the most Vp Data Science job openings:

Infographic showing various Vp Data Science job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,692 per year, or $62.4 per hour.

VP, Engineering & Continuous Improvement

American Nutrition

Ogden, UT

$176K - $227K/yr

Full-time

Re-posted 21 days ago


Job description

The Vice President of Engineering & Continuous Improvement is a strategic leader responsible for leading our capital and investment strategy across the company. This role will lead the Engineering and Improvement Teams while executing our investment plan, a comprehensive continuous improvement strategy aligned with the company's overall business objectives. Duties include optimizing factory performance, driving organizational efficiency, and improved quality through the implementation and optimization of lean, Six Sigma, and other improvement methodologies.

The Vice President of Engineering & Continuous Improvement is a strategic leader responsible for leading our capital and investment strategy across the company.  This role will lead the Engineering and Improvement Teams while executing our investment plan, a comprehensive continuous improvement strategy aligned with the company's overall business objectives. Duties include optimizing factory performance, driving organizational efficiency, and improved quality through the implementation and optimization of lean, Six Sigma, and other improvement methodologies. 

DESCRIPTION OF ESSENTIAL DUTIES: 

  • Manage a team of engineers that will complete projects across engineering, fabrication, and maintenance.
  • 50% travel to various plants across the country to determine the overall scope of engineering projects across plants as well as distributing projects to engineering, automation and fabrication teams.
  • Assist the Engineers with the annual capital planning program by providing information related to cost reduction projects, identifying necessary major equipment replacement, and assisting in the evaluation of non-cost reduction projects.
  • Provide engineering expertise to support long-range facilities planning by assisting in the valuation of future major repairs or replacement to assure plant production capabilities and developing reliable and cost-effective utility resources.
  • Develop and implement a company-wide continuous improvement strategy and roadmap through engineering and continuous improvement initiatives.
  • Lead and mentor a high-performing team of continuous improvement professionals.
  • Identify, prioritize, and execute high-impact improvement projects across the organization.
  • Collaborate with cross-functional teams to identify process inefficiencies and develop solutions.
  • Develop and implement performance metrics to measure improvement initiatives and ROI.
  • Foster a culture of continuous improvement throughout the organization.
  • Provide leadership and coaching to employees at all levels on improvement methodologies and tools.
  • Analyze data and trends to identify opportunities for improvement.
  • Ensure compliance with quality standards and regulatory requirements.
  • Effectively introduce new technology that yields a competitive advantage.
  • Assist in assuring compliance with all appropriate regulations through OSHA, National building codes, corporate regulations, GMP’s, HACCP, and health, safety, and environmental programs.

 QUALIFICATIONS:

  • Bachelor's degree in engineering, business, or related field.
  • Master's degree in business administration or related field preferred.
  • Minimum of 10 years of experience in continuous improvement, operations, or related field.  
  • Proven track record of leading successful continuous improvement initiatives.
  • Knowledge of lean, Six Sigma, and other improvement methodologies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to influence and collaborate with stakeholders at all levels.
  • Strong project management skills.
  • Black Belt certification in Six Sigma preferred
  • Experience in a manufacturing or production environment.
  • Knowledge of change management principles.
  • Proficiency in data analysis and statistical tools.